Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 26.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
GoogleSummary
- The widest gap is in knowledge, where Gemini 2.0 Flash-Lite leads 35.0 to 16.0.
- DeepSeek-R1-Distill-Qwen-1.5B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 26.1 | 37.8 |
| Released | 2025-01-20 | 2025-02-05 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 5 | 32 |
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Category by category
Coding Gemini 2.0 Flash-Lite leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Gemini 2.0 Flash-Lite: 37.9 (#185)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite |
|---|---|---|
| BigCodeBench Instruct | 7% | — |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1322 |
| BigCodeBench Complete | 7.9% | — |
Reasoning Gemini 2.0 Flash-Lite leads
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Gemini 2.0 Flash-Lite: 22.0 (#210)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite |
|---|---|---|
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 50.1% |
| LMArena Hard Prompts | — | 1324 |
| DTBench | — | 52.5% |
| LiveBench Data Analysis | — | 65.5% |
| ForecastBench | — | 57.1 |
| LiveBench | — | 54.3% |
Math Gemini 2.0 Flash-Lite leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Gemini 2.0 Flash-Lite: 34.1 (#196)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | — |
| Omni-MATH | — | 37.4% |
| LiveBench Math | — | 58.1% |
| LMArena Math | — | 1309 |
Knowledge Gemini 2.0 Flash-Lite leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Gemini 2.0 Flash-Lite: 35.0 (#189)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite |
|---|---|---|
| GPQA Diamond | 33.6% | — |
| MMLU-Pro | — | 72% |
| GPQA (HELM) | — | 50% |
| LMArena Expert | — | 1305 |
Multimodal Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 2.0 Flash-Lite: 31.2 (#109)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Vision | — | 1100 |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 2.0 Flash-Lite: 46.0 (#161)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Non-English | — | 1323 |
| LMArena Chinese | — | 1339 |
| LMArena French | — | 1347 |
| LMArena German | — | 1306 |
| LMArena Japanese | — | 1301 |
| LMArena Korean | — | 1325 |
| LMArena Russian | — | 1328 |
| LMArena Spanish | — | 1313 |
Instruction Following Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 2.0 Flash-Lite: 70.4 (#163)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LiveBench Instruction Following | — | 78.3% |
| IFEval | — | 82.4% |
| LMArena Instruction Following | — | 1305 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 2.0 Flash-Lite: 40.1 (#160)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Longer Query | — | 1320 |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Gemini 2.0 Flash-Lite: 51.7 (#177)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Text | — | 1330 |
| LMArena Creative Writing | — | 1319 |
| WildBench | — | 79% |
| LMArena Multi-Turn | — | 1307 |
| LiveBench Language | — | 34.3% |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Gemini 2.0 Flash-Lite?
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Gemini 2.0 Flash-Lite better for coding?
Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Gemini 2.0 Flash-Lite share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.